Can produce detailed, factual and unbiased research reports

Offers customization options for focusing on relevant resources, outlines, and lessons

Addresses issues of speed and determinism, offering a more stable performance and increased speed through parallelized agent work, as opposed to synchronous operation

Inspired by AutoGPT and the Plan-and-Solve paper

The main idea is to run "planner" and "execution" agents, whereas the planner generates questions to research, and the execution agents seek the most related information based on each generated research question